个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:东亚大学
学位:博士
所在单位:机械工程学院
学科:机械设计及理论
办公地点:大方楼8021#
电子邮箱:sxg@dlut.edu.cn
Multiobjective Design Optimization of IGBT Power Modules Considering Power Cycling and Thermal Cycling
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论文类型:期刊论文
发表时间:2015-05-01
发表刊物:IEEE TRANSACTIONS ON POWER ELECTRONICS
收录刊物:SCIE、EI、Scopus
卷号:30
期号:5,SI
页面范围:2493-2504
ISSN号:0885-8993
关键字:Aging; fatigue; finite-element (FE) methods; insulated-gate bipolar transistors (IGBTs); multiobjective; optimization methods; power cycling (PC); reliability; thermal cycling (TC)
摘要:Insulated-gate bipolar transistor (IGBT) power modules find widespread use in numerous power conversion applications where their reliability is of significant concern. Standard IGBT modules are fabricated for general-purpose applications while little has been designed for bespoke applications. However, conventional design of IGBTs can be improved by the multiobjective optimization technique. This paper proposes a novel design method to consider die-attachment solder failures induced by short power cycling and baseplate solder fatigue induced by the thermal cycling which are among major failure mechanisms of IGBTs. Thermal resistance is calculated analytically and the plastic work design is obtained with a high-fidelity finite-element model, which has been validated experimentally. The objective of minimizing the plastic work and constrain functions is formulated by the surrogate model. The nondominated sorting genetic algorithm-II is used to search for the Pareto-optimal solutions and the best design. The result of this combination generates an effective approach to optimize the physical structure of power electronic modules, taking account of historical environmental and operational conditions in the field.